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Trends and Advancements in Deep Neural Network Communication., , and . CoRR, (2020)FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning., , , and . CoRR, (2021)Embedded 3D reconstruction of dynamic objects in real time for maritime situational awareness pictures., , , , , and . Vis. Comput., 40 (2): 571-584 (February 2024)Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data., , , and . IEEE Trans. Neural Networks Learn. Syst., 31 (9): 3400-3413 (2020)Communication-Efficient Federated Distillation., , , and . CoRR, (2020)CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding., , , and . IEEE Trans. Netw. Sci. Eng., 9 (4): 2025-2038 (2022)Robust and Communication-Efficient Federated Learning from Non-IID Data., , , and . CoRR, (2019)Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints., , and . IEEE Trans. Neural Networks Learn. Syst., 32 (8): 3710-3722 (2021)Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication., , , and . IJCNN, page 1-8. IEEE, (2019)On the Byzantine Robustness of Clustered Federated Learning., , , and . ICASSP, page 8861-8865. IEEE, (2020)